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As a Senior Software Engineer at Fivetran, you will develop and maintain features for their data validation service, focusing on data replication and supporting various data sources. You will also design software, improve existing connectors, and contribute to the engineering team through mentoring and participation in the hiring process.

The Sales Manager will lead a team of Account Executives in driving sales and revenue growth for Fivetran. Responsibilities include managing pipeline development, fostering a strong team culture, mentoring team members, and collaborating with senior leadership on sales strategies.

The Principal Software Engineer will lead the design, architecture, and development of Fivetran’s Data Lake product. Responsibilities include collaborating with product teams, implementing large-scale data lake systems, contributing to open-source projects, and ensuring operational excellence.

The New Business Enterprise BDR at Fivetran focuses on prospecting and generating meetings with decision makers in Fortune 100 companies. The role involves account mapping, understanding customer data challenges, and collaborating with cross-functional teams to drive pipeline generation and exceed revenue goals.

The Director of Technical Product Management will lead the Technical Product Management team in Systems Engineering, overseeing the execution of product roadmaps, project delivery, and stakeholder relationships. Responsibilities include guiding technical solutions to business challenges, mentoring the team, and collaborating with various internal functions to align business vision with technical execution.

As a Software Engineer II on the Performance Engineering team, you will develop and debug software, analyze system performance, and design performance benchmarks. Your role also involves collaborating with engineers on performance solutions that enhance the product's efficiency and resilience.

The Senior Strategic Finance Analyst in R&D will provide insights and recommendations for optimizing investments, enhance forecast accuracy for R&D expenses, conduct variance analyses, and streamline financial processes while acting as a liaison between finance and R&D operations.